Data Engineer (all genders)

Your Responsibilities

As a Data Engineer at FRIDAY you will help us shape our digital products and utilize our state-of-art technology stack
to disrupt an old school Industry.
Think one of the FAANG s go for Insurance. Awesome!

Our Data Team is an independent team of technical diverse engineers and analysts taking care of the data platform at FRIDAY.
The mission is to bring data & statistics to FRIDAY's products and processes which includes data ingestion, analysis and software development

• Connecting different data sources and analysing data using statistical models in order to support our pricing team in designing competitive
  insurance tariffs
• Work hand-in-hand with our data analysts and scientist in order to improve statistical models that were developed by them, add more data sources, improve the user interface and the overall architecture
• Be involved in planning infrastructure and developing code that supports those models.

Your ideal background and skillset

• At least 2+ years of relevant work experience in the field of data engineering
• Have practical knowledge of building microservices
• Fluent in English
• Love for getting things done!

What you can expect from us:

• Employment contract with a competitive salary, attractive benefits including 30 days of vacation, and Medical Insurance extended package with full dentist and medicine reimbursements.

• Remote work opportunity, and to have a decent workspace at home we do have a once per year
  Home Office Allowance paid out!.

• We offer a modern and employee orientated workspace and culture

• We know that smart people need freedom, an inspiring working environment and trust to thrive we offer you that :

  • No dress code, bureaucracy or political crap.
  • Culture of diversity and creativity with smart people who take pride in what they do
  • International environment Bases in Warsaw, Berlin, Paris and Luxembourg colleagues from 30 nations.
  • Office space in the heart of Warsaw

• Learning is highly encouraged and required We offer you a training budget.

Recruitment process :

• First online interview
• Little homework task
• Technical panel interview
• Decision